This research explores how Large Language Models can move beyond code snippets to generate complete architectural components for serverless applications.

• Evaluates LLM capabilities in generating deployable serverless functions
• Aims to accelerate development by skipping from design directly to deployment
• Investigates practical applications of AI for software architecture automation
• Studies the feasibility of AI-generated architectural components

For engineering teams, this research opens pathways to dramatically reduce development time through automated generation of functional architectural components, potentially transforming the software development lifecycle.

LLMs for Generation of Architectural Components: An Exploratory Empirical Study in the Serverless World